Experience

Academic

Columbia University Irving Medical Center
PhD, Systems & Computational Biology (expected August 2026) Thesis: Machine learning methods to understand cancer-microbe interactions Advisor: Prof. Tal Korem

New York, NY
2023 - present

Columbia University, Fu Foundation School of Engineering and Applied Science
Master of Science, Computer Science (part-time) Thesis: Contamination source modeling with SCRuB improves cancer phenotype prediction from microbiome data Advisor: Prof. Tal Korem

New York, NY
2020 - 2022

Columbia University, Fu Foundation School of Engineering and Applied Science
Bachelor of Science, Applied Mathematics

New York, NY
2015 - 2019

Industry

Optum Labs, UnitedHealth Group
Principal Machine Learning Scientist
  • Survival analysis framework to assess colorectal cancer screening patterns
  • Novel transformer architectures to predict risk of multi-drug contraindications
  • Led research to develop and implement AI methods for automated prior authorization approvals

Minnetonka, MN
2019 - 2023

BNY Mellon
Summer Analyst

New York, NY
2017

Awards & Honors

Systems Biology T32 Award 1T32GM158494-01
Columbia University Irving Medical Center, Systems Biology

New York, NY
2025

Institutional Nominee, Regeneron Prize for Creative Innovation
Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center

New York, NY
2025

Outstanding Poster Award
Columbia Systems Biology Department Retreat

New York, NY
2023